Netflix-app
Netflix uses data science to analyze massive amounts of user and content data to improve its platform performance and user experience. By studying users’ Drama genre ,highest Votes in vote avg column ,movi highest popularity ,movi Lowest popularity,Year has the most filmmed movies, viewing history, ratings, and preferences.
Key Components of Data Science
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Data Collection: Gathering data from various sources (CSV file mymoviedb.csv).
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Data Cleaning & Preprocessing: Removing errors, duplicates, and missing values.
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Exploratory Data Analysis (EDA): Understanding data through visualization and summary statistics.
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Model Building: Using machine learning or statistical models to make predictions or classifications.
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Interpretation & Decision Making: Using results to make informed business or research decisions.
Tools & Technologies Used
1.Programming: Python
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Libraries: Pandas, NumPy, Scikit-learn, TensorFlow
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Visualization: Matplotlib, Seaborn, Power BI, Tableau.